@article {Sabarinathan190330, author = {Radhakrishnan Sabarinathan and Oriol Pich and I{\~n}igo Martincorena and Carlota Rubio-Perez and Malene Juul and Jeremiah Wala and Steven Schumacher and Ofer Shapira and Nikos Sidiropoulos and Sebastian M. Waszak and David Tamborero and Loris Mularoni and Esther Rheinbay and Henrik Hornsh{\o}j and Jordi Deu-Pons and Ferran Mui{\~n}os and Johanna Bertl and Qianyun Guo and Chad J. Creighton and Joachim Weischenfeldt and Jan O. Korbel and Gad Getz and Peter J. Campbell and Jakob S. Pedersen and Rameen Beroukhim and Abel Gonzalez-Perez and N{\'u}ria L{\'o}pez-Bigas and on behalf of the PCAWG Drivers and Functional Interpretation Group and the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Network}, title = {The whole-genome panorama of cancer drivers}, elocation-id = {190330}, year = {2017}, doi = {10.1101/190330}, publisher = {Cold Spring Harbor Laboratory}, abstract = {The advance of personalized cancer medicine requires the accurate identification of the mutations driving each patient{\textquoteright}s tumor. However, to date, we have only been able to obtain partial insights into the contribution of genomic events to tumor development. Here, we design a comprehensive approach to identify the driver mutations in each patient{\textquoteright}s tumor and obtain a whole-genome panorama of driver events across more than 2,500 tumors from 37 types of cancer. This panorama includes coding and non-coding point mutations, copy number alterations and other genomic rearrangements of somatic origin, and potentially predisposing germline variants. We demonstrate that genomic events are at the root of virtually all tumors, with each carrying on average 4.6 driver events. Most individual tumors harbor a unique combination of drivers, and we uncover the most frequent co-occurring driver events. Half of all cancer genes are affected by several types of driver mutations. In summary, the panorama described here provides answers to fundamental questions in cancer genomics and bridges the gap between cancer genomics and personalized cancer medicine.}, URL = {https://www.biorxiv.org/content/early/2017/12/23/190330}, eprint = {https://www.biorxiv.org/content/early/2017/12/23/190330.full.pdf}, journal = {bioRxiv} }